The receipt for a successful study of the Jovian interior
structure is given by the association of seismology and
precise visible photometry. In this framework, the
micro-satellite project JOVIS, presented to the French space
agency (Mosser et al. 2004), is for Jupiter a copy of what
the European space mission COROT is for the stars (Baglin et
al. 1998). The Jovian visible flux being dominated by the
albedo map, an accurate analysis of the cloud response to a
seismic wave is needed. Therefore, we have revisited the
propagation of sound waves in the Jovian troposphere, in
order to estimate how they affect the albedo of the uppest
clouds layer, composed of ammonia ice. The relative
variations of albedo generated by an acoustic wave reach the
70-ppm level, what would be observable from space and would
allow the detection of 4 mm/s waves. Moreover, the detection
of Jovian global oscillations implies the identification of
the modes in noisy images. We present a method to filter the
mode signatures in simulations of Jupiter images as seen by
JOVIS.